Customer Support AI
RAG chatbots with escalation and quality monitoring.
Deflection · Source citations · Human handoff
AI Development Company
Ship AI That Works.
Automate Work That Matters.
Measure Outcomes That Stick.
Fly Your Tech builds AI chatbots, agents, LLM integrations, and automation workflows that plug into your products and operations — with security, evaluation, and ROI milestones from day one.
PoC → production
Eval & guardrails
LLM / RAG pipelines
Enterprise controls
Chatbots · Agents · RAG · Automation
HealthcareFinanceE-commerceSupport TeamsOperationsSaaSEducationCustomer SuccessHealthcareFinanceE-commerceSupport TeamsOperationsSaaSEducationCustomer Success
2–4
Typical PoC Weeks
4–12
Production Cycles
40%
Support Deflection
7+
Industries Served
The Real Risk
AI Problems Costing Time and Trust
Demos are easy. Production AI that is accurate, secure, and adopted by your team is not — that is the gap we close.
01
Manual operations overload
Teams burn hours on triage, data entry, and follow-ups that never needed a human in the loop.
02
Support that cannot scale
Ticket volume grows faster than headcount; quality slides when agents rush.
03
Knowledge trapped in tools
SOPs, tickets, and docs live in silos — LLMs cannot help if they cannot retrieve the truth.
04
PoC that never ships
Impressive notebooks die without evals, fallbacks, monitoring, or product UX.
05
Risky data exposure
Prompt experiments without access control, PII policy, or audit trails create compliance risk.
06
No measurement of accuracy
Without evaluation sets and human review loops, hallucinations become customer-facing errors.
Services
AI Development Services We Deliver
From first PoC to AI features inside your SaaS or ops stack — production systems, not model wrappers.
AI Chatbots & Help Desks
Customer and internal bots with retrieval, escalation, and conversation analytics.
AI Agents & Tool Use
Agents that take actions — create tickets, update CRM, draft docs — with permission boundaries.
LLM Integration
OpenAI, Claude, Gemini, and open models wired into your backend with cost and latency controls.
RAG & Knowledge Systems
Embeddings, chunking, and retrieval over docs, tickets, and product data with source citations.
Workflow Automation
Classify, extract, route, summarize, and trigger next steps inside real business processes.
Copilots & AI SaaS
In-product assistants and subscription AI products with auth, metering, and admin controls.
Why Us
Why Teams Choose Fly Your Tech
AI that ships with guardrails — business-first use cases, evals before scale, outcomes you can measure.
Business-firstEval before scaleSecurity by default
- 01
Business-first AI
We start from workflows and ROI — not from a model marketplace wishlist.
- 02
Production architecture
Queues, vector stores, fallbacks, and observability so systems survive real traffic.
- 03
Modern AI stack
LangChain/LlamaIndex patterns, Python/Node services, and Next.js product surfaces.
- 04
Security by default
PII handling, RBAC, logging, and deployment options matched to your compliance bar.
- 05
Eval before scale
Test sets and human review loops before you expose AI to every customer.
- 06
Rapid PoC, disciplined ship
Prove value in weeks, then harden for production without throwing the PoC away.
Process
From AI Idea to Production System
A disciplined path that protects budget: validate, harden, then scale usage.
01
Discovery
Workflows, data access, risks, and success metrics.
02
Architecture
Model choice, retrieval design, and security plan.
03
PoC Build
Working slice with real data and baseline evals.
04
Integrate
UX, APIs, tool access, and human handoff.
05
Harden
Quality gates, monitoring, and cost controls.
06
Launch
Rollout, feedback loops, and continuous tuning.
Where AI Fits
Industry AI Use Cases That Stick
We prioritize workflows with clear owners, data access, and measurable outcomes.
Sales & CRM Copilots
Scoring, reply drafts, and meeting summaries in CRM.
Lead scoring · Follow-ups · Pipeline insights
E-commerce Ops AI
Order-aware assistants and returns triage.
Catalog Q&A · Issue classify · Status replies
Healthcare Admin AI
Reminders, document extraction, staff copilots.
Appointments · Doc extract · Access controls
Finance & Ops AI
Invoice pipelines and policy Q&A with review.
Extraction · Exception queues · Audit trails
SaaS Product AI
In-product copilots grounded in tenant data.
Onboarding · Feature discovery · Usage metering
Education AI
Inquiry triage and knowledge assistants for staff.
Inquiry routing · FAQ bots · Counselor assist
Internal Ops AI
Summaries, classification, and tool-calling agents.
Ticket triage · Meeting notes · Safe actions
Client Stories
AI outcomes teams actually feel
Operations, product, and support leaders partner with us for copilots and automation that survive real traffic.
“Their AI automation cut our support workload by 40% in the first month — with handoff that agents actually trust.”
“We shipped an AI copilot inside our SaaS faster than expected, with evals and admin controls from the start.”
“Document extraction with confidence scores and human review saved our ops team hours every week without losing auditability.”
Global Delivery
AI Development Company with Global Reach
Product and ops teams partner with us for production AI delivery — PoC-to-launch discipline, security-first architecture, and APAC-friendly collaboration.
IndiaHQAustraliaAPACUKEMEAUAEMENAUSAmericas
FAQs
AI development FAQs
Straight answers about models, integrations, timelines, security, and how we prevent bad outputs.
We design and ship production AI systems — chatbots, copilots, agents, RAG pipelines, document AI, and automation — integrated into your product or operations with security and evaluation included.
OpenAI, Anthropic Claude, Google Gemini, selected open-source models, and hybrid setups. Model choice follows accuracy, cost, latency, and data-handling requirements — not hype.
Yes. Most projects add AI via secure APIs, embeddings, and backend services without a full rewrite — then wire UX surfaces (chat, copilot, admin) into your product.
PoCs often land in 2–4 weeks. Production integrations with RAG, tool access, and guardrails typically take 4–12 weeks depending on data readiness and product scope.
We implement access controls, encryption, PII policies, logging, and deployment options (including private networking patterns) matched to your compliance needs.
Retrieval grounding, tool constraints, confidence thresholds, human-in-the-loop for sensitive actions, and evaluation sets with monitoring after launch.
Clean data helps, but we often start by scoping the highest-value workflow and improving retrieval sources in parallel. Discovery will flag blockers early.
We offer optimization retainers for quality monitoring, cost control, prompt/pipeline tuning, and expansion into the next use cases.
Ready to Ship AI That Your Team Will Use?
Book an AI consultation. Leave with a use-case map, risk notes, and a realistic path from PoC to production.